mcp-neuralmemory

mcp-neuralmemory is an MCP server by Hexecu. Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP. It has 16 GitHub stars and ranks #808 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: Hexecu
GitHub stars: 16
This week: Tracking since 24 Oct 2026
Language: Python
License: MIT (open source)
Last update: 2026-09-04 (50 days ago)
Links: Source Website PyPI

ai-agent
antigravity
coding-assistant
context-memory
cursor-mcp
knowledge-graph
llm
long-term-memory
mcp-server
memory
neo4j
python

How to install mcp-neuralmemory

mcp-neuralmemory is published on PyPI as kg-mcp, and it depends on mcp. These steps assume it runs as a local stdio server, which is the usual setup.

Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need uv for uvx.

Add it to Claude Code from a terminal:

claude mcp add mcp-neuralmemory -- uvx kg-mcp

Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-neuralmemory": {
      "command": "uvx",
      "args": [
        "kg-mcp"
      ]
    }
  }
}

Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm mcp-neuralmemory and its tools are listed. The install guide covers VS Code and Codex.

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Maintain this project? Get it featured ($99/mo, pinned at the top of Memory & Knowledge) or see what featuring includes.

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Frequently asked questions

What is mcp-neuralmemory?

mcp-neuralmemory is an MCP server by Hexecu in the Memory & Knowledge category. Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP. It has 16 GitHub stars and ranks #808 of 1287 in Memory & Knowledge by stars.

Is mcp-neuralmemory free and open source?

Yes. mcp-neuralmemory is published under the MIT license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

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